2.50
Hdl Handle:
http://hdl.handle.net/10755/308631
Category:
Abstract
Type:
Presentation
Title:
Classifying Reasons For Hospital Readmissions
Author(s):
Jansen, Kay R.; Kim, Tae Youn
Lead Author STTI Affiliation:
EtaNu
Author Details:
Kay R. Jansen, DNP, MSN, PMHCNS-BC, RN, kjansen@uwm.edu; Tae Youn Kim, PhD, RN
Abstract:

Session presented on: Tuesday, November 19, 2013

Unplanned hospital readmissions consume healthcare resources that increase costs and may decrease healthcare access for others. In the United States, for example, unplanned readmissions account for an estimated twenty-five billion dollars annually1. Efforts to predict risk for readmission generally use administrative data such as patient demographic characteristics, diseases and co-morbidities, number of previous admissions, and length of stay. Although such data may be used to screen for individuals at risk for hospital readmission, they are not sufficient for developing interventions that would target the reduction of readmissions, resulting in inequity of healthcare delivery. A standard classification scheme for hospital readmission would facilitate data collection and analysis of reasons for readmission. There are no widely used classification systems for hospital readmission. The purpose of this project was to develop a hospital readmission classification based on an integrative literature review and on data collected from patients, family members, nurses, physicians and the health record. Findings of the review supported a model for classifying hospital readmission that included four categories (patient, environment, clinical encounter, and organization)2 and 12 sub-categories. The classification provides a resource for nurse researchers, practitioners, and administrators to further examine reasons for hospital readmission and to target nursing interventions to reduce readmissions. Additional research is needed to refine, implement, and test the use of this classification in the electronic health record as a means to reduce readmissions while promoting positive outcomes for patients.
Keywords:
Standardized tool; classification; Hospital readmission
Repository Posting Date:
19-Dec-2013
Date of Publication:
19-Dec-2013
Conference Date:
2013
Conference Name:
42nd Biennial Convention
Conference Host:
Sigma Theta Tau International, the Honor Society of Nursing
Conference Location:
Indianapolis, Indiana, USA
Description:
42nd Biennial Convention 2013 Theme: Give Back to Move Forward. Held at the JW Marriott

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_GB
dc.type.categoryAbstracten_GB
dc.typePresentationen_GB
dc.titleClassifying Reasons For Hospital Readmissionsen_GB
dc.contributor.authorJansen, Kay R.en_GB
dc.contributor.authorKim, Tae Younen_GB
dc.contributor.departmentEtaNuen_GB
dc.author.detailsKay R. Jansen, DNP, MSN, PMHCNS-BC, RN, kjansen@uwm.edu; Tae Youn Kim, PhD, RNen_GB
dc.identifier.urihttp://hdl.handle.net/10755/308631-
dc.description.abstract<p>Session presented on: Tuesday, November 19, 2013</p>Unplanned hospital readmissions consume healthcare resources that increase costs and may decrease healthcare access for others. In the United States, for example, unplanned readmissions account for an estimated twenty-five billion dollars annually<sup>1</sup>. Efforts to predict risk for readmission generally use administrative data such as patient demographic characteristics, diseases and co-morbidities, number of previous admissions, and length of stay. Although such data may be used to screen for individuals at risk for hospital readmission, they are not sufficient for developing interventions that would target the reduction of readmissions, resulting in inequity of healthcare delivery. A standard classification scheme for hospital readmission would facilitate data collection and analysis of reasons for readmission. There are no widely used classification systems for hospital readmission. The purpose of this project was to develop a hospital readmission classification based on an integrative literature review and on data collected from patients, family members, nurses, physicians and the health record. Findings of the review supported a model for classifying hospital readmission that included four categories (patient, environment, clinical encounter, and organization)<sup>2</sup> and 12 sub-categories. The classification provides a resource for nurse researchers, practitioners, and administrators to further examine reasons for hospital readmission and to target nursing interventions to reduce readmissions. Additional research is needed to refine, implement, and test the use of this classification in the electronic health record as a means to reduce readmissions while promoting positive outcomes for patients.en_GB
dc.subjectStandardized toolen_GB
dc.subjectclassificationen_GB
dc.subjectHospital readmissionen_GB
dc.date.available2013-12-19T17:33:51Z-
dc.date.issued2013-12-19-
dc.date.accessioned2013-12-19T17:33:51Z-
dc.conference.date2013en_GB
dc.conference.name42nd Biennial Conventionen_GB
dc.conference.hostSigma Theta Tau International, the Honor Society of Nursingen_GB
dc.conference.locationIndianapolis, Indiana, USAen_GB
dc.description42nd Biennial Convention 2013 Theme: Give Back to Move Forward. Held at the JW Marriotten_GB
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